Науковий вісник НГУ

Predicting zones of increased water inflows in local folded structures

• 
• 

User Rating:  / 1

PoorBest 

Details

Category: Content №4 2023

Last Updated on 28 August 2023

Published on 30 November -0001

Hits: 2478

Authors:

K.A.Bezruchko*, orcid.org/0000-0002-3818-5624, Institute of Geotechnical Mechanics named by N. Poljakov of National Academy of Sciences of Ukraine, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V.F.Prykchodchenko, orcid.org/0000-0002-7658-8758, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O.V.Prykchodchenko, orcid.org/0000-0001-6705-0289, Institute of Geotechnical Mechanics named by N. Poljakov of National Academy of Sciences of Ukraine, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

M.O.Hladka, orcid.org/0000-0002-6539-7251, Institute of Geotechnical Mechanics named by N. Poljakov of National Academy of Sciences of Ukraine, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2023, (4): 005 - 010

https://doi.org/10.33271/nvngu/2023-4/005

Abstract:

Purpose. To predict zones of increased water inflows based on geological exploration and mining-geological data in the real conditions of an operating coal mine using the method of predictive evaluation of prospects of local structures for the presence of gas accumulations.

Methodology. The research was carried out by constructing a map of local structures using trend analysis. The synclinal fold is allocated in the plan and its main parameters – amplitude and width – are determined. Based on these parameters of the structure, the authors performed calculations of relative linear deformations and relative volume deformation of the studied fold.

Findings. According to the deviation of the hyposometry of layer  (“Samarska” mine) from the approximating surface, a local synclinal structure is allocated on the map. Based on calculated data on the volumetric deformation of rocks (siltstones and sandstones) and average values of open porosity, fracture porosity and absolute permeability were calculated. The obtained data indicate the formation of a fractured zone with improved filtration and capacity properties of rocks within the studied area. According to the actual mining and geological data, within the defined area, there are increased water inflows into the mine workings, which further confirms the results of the prediction.

Originality. For the first time, the algorithm of predictive evaluation of the prospects of local anticlinal structures for the presence of gas accumulations was used to predict areas of increased water inflows.

Practical values. In the real conditions of an operating mine, in the area of mining operations, the method for predicting zones of increased water inflows was tested according to a predictive evaluation of the prospects of local folds for the presence of gas accumulations.

Keywords: local structures, synclinal folds, linear and volumetric deformations, fractured zones, increased water inflows

References.

1. Bezruchko, K., Prykhodchenko, O., & Tokar, L. (2014). Prognozis for free methane traps of structural and tectonic type in Donbas. Progressive Technologies of Coal, Coalbad Methane, Ores Mining, 279-284.  https://doi.org/10.1201/b17547-47.

2. Lai, J., Wang, G., Fan, Z., Wang, Z., Chen, J., Zhou, Z., Wang, S., & Xiao, C. (2017). Fracture detection in oil based drilling mud using a combination of borehole image and sonic logs. Marine and Petroleum Geology, 84, 195-214. https://doi.org/10.1016/j.marpetgeo.2017.03.035.

3. Xiao, Z., Ding, W., Liu, J., Tian, M., Yin, S., Zhou, X., & Gu, Y. (2019). A fracture identification method for low-permeability sandstone based on R/S analysis and the finite difference method: A case study from the Chang 6 reservoir in Huaqing oilfield, Ordos Basin. Journal of Petroleum Science and Engineering, 174, 1169-1178. https://doi.org/10.1016/j.petrol.2018.12.017. 

4. Palchik, V. (2020). Analysis of main factors influencing the apertures of mining-induced horizontal fractures at longwall coal mining. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 6(2). https://doi.org/10.1007/s40948-020-00158-w. 

5. Li, H. (2021). Quantitative prediction of complex tectonic fractures in the tight sandstone reservoirs: a fractal method. Arabian Journal of Geoscience, 14(19). https://doi.org/10.1007/s12517-021-08344-0.

6. Artym, І. (2018). Evaluation of reservoir rocks tectonic fracturing

through the finite element method. Young Scientist, 2(54), 6-10. Retrieved from https://molodyivchenyi.ua/index.php/journal/article/view/5043#author-1.

7. Artym, I., & Kurovets, S. (2019). Estimating the impact of mechanical characteristics of reservoirs of the Pre-Carpathian region on their tectonic fracturing. Oil & Gas Industry of Ukraine, 2, 25-31.

8. Dovbnych, M., Machula, M., & Mendryi, Ya. (2010). Experience in Forecasting Fractured Zones in the Study of Oil and Gas Potential of Jurassic Deposits in Northwestern Siberia. Geoinformatics, 1, 50-57.

9. Zhao, D., & Wu, Q. (2018). An approach to predict the height of fractured water-conducting zone of coal roof strata using random forest regression. Scientific Reports, 8(1). https://doi.org/10.1038/s41598-018-29418-2. 

10. Bezruchko, K., Prykhodchenko, O., & Shpak, V. (2013). Prediction of accumulations of free methane in traps of the structural-tectonic type of coal-bearing strata. Coal of Ukraine, 8, 51-53.

• Next >